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Job Description - Generative AI Engineer.
Company Overview:
PA Team ( is a dynamic, fast-growing company, focusing on extremely disruptive and most exciting field of Robotic Process Automation and AI. At PAteam we work in a rapidly growing team of passionate, honest, and innovative people who like to have fun at what they do while delivering the highest quality possible.
Our mission is to harness the power of artificial intelligence to streamline processes, enhance decision-making, and drive sustainable growth for our clients. As we continue to expand our portfolio, we are seeking an enthusiastic Generative AI Engineer with a genuine passion for the field to join our dynamic team.
Position Overview:
As a Generative AI Engineer with PAteam, you will be at the forefront of developing cutting-edge AI solutions to address complex challenges in the field of Automation. Leveraging your expertise in machine learning, algorithms, and data structures, you will collaborate with cross-functional teams to design, implement, and deploy scalable AI models and algorithms. You will play a pivotal role in driving innovation, delivering value to our clients, and shaping the future of AI-driven solutions.
Responsibilities:
Utilize generative AI models and algorithms to address specific business challenges.
Collaborate with cross-functional teams to analyze requirements, design solutions, and deploy scalable AI applications.
Engage in the entire lifecycle of AI development, with a focus on generative technologies.
Work with AWS cloud computing services to deliver robust, scalable solutions.
Requirements:
0-2 years of experience in end-to-end AI development, with a strong proficiency in Python and a keen interest in generative models.
Experience with Large Language Models (LLMs) and familiarity with LangChain, prompt engineering, LLM benchmarks, RAG, agents, vector indexing/databases etc.
Fluency in English, with excellent communication and collaboration skills.
Ability to learn and adapt to new technologies.
Familiarity with Git and Jupyter Notebooks.
Nice to Have:
Experience with AWS services (S3, Lambda, SageMaker, Bedrock) for AI model development and deployment.
Familiarity with Streamlit for building interactive AI applications.
Background in machine learning, algorithms, and data structures.
Familiarity with Docker.
